🌾 AgroSphere

Agrosphere is an AI-powered conversational assistant designed to support agricultural knowledge dissemination. It leverages modern language models, embedding techniques, and a local vector database to answer user queries based on agricultural documents.

🚀 Features

• Conversational AI chatbot trained on agricultural documents
• Uses Google Generative AI and Groq APIs
• Embedding storage with Chroma vector database
• Streamlit-based UI for quick interaction
• Environment-friendly design with smooth background

📁 Project Structure

agrosphere/
├── agribot.py                  # Main chatbot application
├── embedding.py                # Script to create document embeddings
├── background.jpg              # UI background image
├── .env                        # Environment variables (API keys etc.)
├── my\_chroma\_store/            # Chroma vector database
├── Agriculture/inr.pdf         # Sample input document
├── venv/                       # Python virtual environment

🧪 Requirements

Python 3.8 or later and the following Python libraries:

streamlit
python-dotenv
langchain
langchain-community
langchain-google-genai
langchain-groq

You can install these using:

pip install -r requirements.txt

You can create requirements.txt with:

streamlit
python-dotenv
langchain
langchain-community
langchain-google-genai
langchain-groq

🛠️ Setup Instructions

1. Clone the Repository

   git clone https://github.com/your-username/agrosphere.git
   cd agrosphere

2. Create and Activate Virtual Environment (optional)

   python -m venv venv
   source venv/bin/activate        # On Windows: venv\Scripts\activate

3. Install Dependencies

   pip install -r requirements.txt

4. Set Environment Variables

   Create a .env file in the project directory with:

   GOOGLE_API_KEY=your_google_api_key
   GROQ_API_KEY=your_groq_api_key
   

5. Run the Chatbot

   streamlit run agribot.py

🧠 Adding New Knowledge

To embed new documents, update or add files in the Agriculture folder and re-run:

python embedding.py

This regenerates the vector database using Chroma.

Made with ❤️ for smart farming by Anusha Singh.